Literature DB >> 26536896

Spatial methods for infectious disease outbreak investigations: systematic literature review.

Catherine M Smith1, Steven C Le Comber, Hannah Fry, Matthew Bull, Steve Leach, Andrew C Hayward.   

Abstract

Investigations of infectious disease outbreaks are conventionally framed in terms of person, time and place. Although geographic information systems have increased the range of tools available, spatial analyses are used relatively infrequently. We conducted a systematic review of published reports of outbreak investigations worldwide to estimate the prevalence of spatial methods, describe the techniques applied and explore their utility. We identified 80 reports using spatial methods published between 1979 and 2013, ca 0.4% of the total number of published outbreaks. Environmental or waterborne infections were the most commonly investigated, and most reports were from the United Kingdom. A range of techniques were used, including simple dot maps, cluster analyses and modelling approaches. Spatial tools were usefully applied throughout investigations, from initial confirmation of the outbreak to describing and analysing cases and communicating findings. They provided valuable insights that led to public health actions, but there is scope for much wider implementation and development of new methods.

Entities:  

Keywords:  geographic information system - GIS; outbreaks

Mesh:

Year:  2015        PMID: 26536896     DOI: 10.2807/1560-7917.ES.2015.20.39.30026

Source DB:  PubMed          Journal:  Euro Surveill        ISSN: 1025-496X


  21 in total

1.  Prediction of Local Transmission of Mycobacterium tuberculosis Isolates of a Predominantly Beijing Lineage by Use of a Variable-Number Tandem-Repeat Typing Method Incorporating a Consensus Set of Hypervariable Loci.

Authors:  Yoshiro Murase; Kiyohiko Izumi; Akihiro Ohkado; Akio Aono; Kinuyo Chikamatsu; Hiroyuki Yamada; Yuriko Igarashi; Akiko Takaki; Satoshi Mitarai
Journal:  J Clin Microbiol       Date:  2017-12-26       Impact factor: 5.948

2.  Multiple large clusters of tuberculosis in London: a cross-sectional analysis of molecular and spatial data.

Authors:  Catherine M Smith; Helen Maguire; Charlotte Anderson; Neil Macdonald; Andrew C Hayward
Journal:  ERJ Open Res       Date:  2017-01-30

3.  Dot map cartograms for detection of infectious disease outbreaks: an application to Q fever, the Netherlands and pertussis, Germany.

Authors:  Loes Soetens; Susan Hahné; Jacco Wallinga
Journal:  Euro Surveill       Date:  2017-06-29

4.  A Simulation Study on Hypothetical Ebola Virus Transmission in India Using Spatiotemporal Epidemiological Modeler (STEM): A Way towards Precision Public Health.

Authors:  Arkaprabha Sau
Journal:  J Environ Public Health       Date:  2017-02-27

5.  Communicating infectious disease prevalence through graphics: Results from an international survey.

Authors:  Angela Fagerlin; Thomas S Valley; Aaron M Scherer; Megan Knaus; Enny Das; Brian J Zikmund-Fisher
Journal:  Vaccine       Date:  2017-06-12       Impact factor: 3.641

6.  Interconnected clusters of invasive meningococcal disease due to Neisseria meningitidis serogroup C ST-11 (cc11), involving bisexuals and men who have sex with men, with discos and gay-venues hotspots of transmission, Tuscany, Italy, 2015 to 2016.

Authors:  Alessandro Miglietta; Cecilia Fazio; Arianna Neri; Patrizio Pezzotti; Francesco Innocenti; Chiara Azzari; Gian Maria Rossolini; Maria Moriondo; Francesco Nieddu; Stefania Iannazzo; Fortunato D'Ancona; Francesco Paolo Maraglino; Raniero Guerra; Giovanni Rezza; Fabio Voller; Paola Stefanelli
Journal:  Euro Surveill       Date:  2018-08

7.  DotMapper: an open source tool for creating interactive disease point maps.

Authors:  Catherine M Smith; Andrew C Hayward
Journal:  BMC Infect Dis       Date:  2016-04-12       Impact factor: 3.090

8.  Navigating an outbreak: geospatial methods for STI outbreak investigations.

Authors:  Catherine M Smith; Lynsey Emmett
Journal:  Sex Transm Infect       Date:  2016-08       Impact factor: 3.519

9.  Spatial clustering of drug-resistant tuberculosis in Hlabisa subdistrict, KwaZulu-Natal, 2011-2015.

Authors:  C M Smith; R Lessells; A D Grant; K Herbst; F Tanser
Journal:  Int J Tuberc Lung Dis       Date:  2018-03-01       Impact factor: 2.373

10.  Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review.

Authors:  Debebe Shaweno; Malancha Karmakar; Kefyalew Addis Alene; Romain Ragonnet; Archie Ca Clements; James M Trauer; Justin T Denholm; Emma S McBryde
Journal:  BMC Med       Date:  2018-10-18       Impact factor: 8.775

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